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Identification of Nanocellulose Retention Characteristics in Porous Media.

Nanomaterials (Basel, Switzerland)

Aadland RC, Dziuba CJ, Heggset EB, Syverud K, Torsæter O, Holt T, Gates ID, Bryant SL.
PMID: 30029511
Nanomaterials (Basel). 2018 Jul 19;8(7). doi: 10.3390/nano8070547.

The application of nanotechnology to the petroleum industry has sparked recent interest in increasing oil recovery, while reducing environmental impact. Nanocellulose is an emerging nanoparticle that is derived from trees or waste stream from wood and fiber industries. Thus,...

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Aadland RC, Dziuba CJ, Heggset EB, et al. Identification of Nanocellulose Retention Characteristics in Porous Media. Nanomaterials (Basel). 2018;8(7)doi: 10.3390/nano8070547.
Aadland, R. C., Dziuba, C. J., Heggset, E. B., Syverud, K., Torsæter, O., Holt, T., Gates, I. D., & Bryant, S. L. (2018). Identification of Nanocellulose Retention Characteristics in Porous Media. Nanomaterials (Basel, Switzerland), 8(7), . https://doi.org/10.3390/nano8070547
Aadland, Reidun C, et al. "Identification of Nanocellulose Retention Characteristics in Porous Media." Nanomaterials (Basel, Switzerland) vol. 8,7 (2018). doi: https://doi.org/10.3390/nano8070547
Aadland RC, Dziuba CJ, Heggset EB, Syverud K, Torsæter O, Holt T, Gates ID, Bryant SL. Identification of Nanocellulose Retention Characteristics in Porous Media. Nanomaterials (Basel). 2018 Jul 19;8(7). doi: 10.3390/nano8070547. PMID: 30029511; PMCID: PMC6071010.
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A Genetic Risk Score for Atrial Fibrillation Predicts the Response to Catheter Ablation.

Korean circulation journal

Choe WS, Kang JH, Choi EK, Shin SY, Lubitz SA, Ellinor PT, Oh S, Lim HE.
PMID: 30808078
Korean Circ J. 2019 Apr;49(4):338-349. doi: 10.4070/kcj.2018.0161. Epub 2018 Dec 17.

BACKGROUND AND OBJECTIVES: The association of susceptibility loci for atrial fibrillation (AF) with AF recurrence after ablation has been reported, although with controversial results. In this prospective cohort analysis, we aimed to investigate whether a genetic risk score (GRS)...

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Choe WS, Kang JH, Choi EK, et al. A Genetic Risk Score for Atrial Fibrillation Predicts the Response to Catheter Ablation. Korean Circ J. 2018;49(4):338-349doi: 10.4070/kcj.2018.0161.
Choe, W. S., Kang, J. H., Choi, E. K., Shin, S. Y., Lubitz, S. A., Ellinor, P. T., Oh, S., & Lim, H. E. (2019). A Genetic Risk Score for Atrial Fibrillation Predicts the Response to Catheter Ablation. Korean circulation journal, 49(4), 338-349. https://doi.org/10.4070/kcj.2018.0161
Choe, Won Seok, et al. "A Genetic Risk Score for Atrial Fibrillation Predicts the Response to Catheter Ablation." Korean circulation journal vol. 49,4 (2019): 338-349. doi: https://doi.org/10.4070/kcj.2018.0161
Choe WS, Kang JH, Choi EK, Shin SY, Lubitz SA, Ellinor PT, Oh S, Lim HE. A Genetic Risk Score for Atrial Fibrillation Predicts the Response to Catheter Ablation. Korean Circ J. 2019 Apr;49(4):338-349. doi: 10.4070/kcj.2018.0161. Epub 2018 Dec 17. PMID: 30808078; PMCID: PMC6428949.
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Ovarian function in the latter half of the reproductive lifespan.

American journal of human biology : the official journal of the Human Biology Council

O'Rourke MT, Lipson SF, Ellison PT.
PMID: 28561458
Am J Hum Biol. 1996;8(6):751-759. doi: 10.1002/(SICI)1520-6300(1996)8:6<751::AID-AJHB7>3.0.CO;2-W.

The relationship of age to four aspects of ovarian function was investigated: daily progesterone levels, pulsatile progesterone secretion, follicular and luteal estradiol levels, and preovulatory estradiol levels. Daily progesterone levels decrease after age 40. Pulsatile progesterone secretion remains approximately...

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O'Rourke MT, Lipson SF, Ellison PT. Ovarian function in the latter half of the reproductive lifespan. Am J Hum Biol. 1996;8(6):751-759doi: 10.1002/(SICI)1520-6300(1996)8:6<751::AID-AJHB7>3.0.CO;2-W.
O'Rourke, M. T., Lipson, S. F., & Ellison, P. T. (1996). Ovarian function in the latter half of the reproductive lifespan. American journal of human biology : the official journal of the Human Biology Council, 8(6), 751-759. https://doi.org/10.1002/(SICI)1520-6300(1996)8:6<751::AID-AJHB7>3.0.CO;2-W
O'Rourke, Mary T, et al. "Ovarian function in the latter half of the reproductive lifespan." American journal of human biology : the official journal of the Human Biology Council vol. 8,6 (1996): 751-759. doi: https://doi.org/10.1002/(SICI)1520-6300(1996)8:6<751::AID-AJHB7>3.0.CO;2-W
O'Rourke MT, Lipson SF, Ellison PT. Ovarian function in the latter half of the reproductive lifespan. Am J Hum Biol. 1996;8(6):751-759. doi: 10.1002/(SICI)1520-6300(1996)8:6<751::AID-AJHB7>3.0.CO;2-W. PMID: 28561458.
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2017 HRS/EHRA/ECAS/APHRS/SOLAECE expert consensus statement on catheter and surgical ablation of atrial fibrillation: Executive summary.

Journal of arrhythmia

Calkins H, Hindricks G, Cappato R, Kim YH, Saad EB, Aguinaga L, Akar JG, Badhwar V, Brugada J, Camm J, Chen PS, Chen SA, Chung MK, Nielsen JC, Curtis AB, Davies DW, Day JD, d'Avila A, de Groot NMSN, Di Biase L, Duytschaever M, Edgerton JR, Ellenbogen KA, Ellinor PT, Ernst S, Fenelon G, Gerstenfeld EP, Haines DE, Haissaguerre M, Helm RH, Hylek E, Jackman WM, Jalife J, Kalman JM, Kautzner J, Kottkamp H, Kuck KH, Kumagai K, Lee R, Lewalter T, Lindsay BD, Macle L, Mansour M, Marchlinski FE, Michaud GF, Nakagawa H, Natale A, Nattel S, Okumura K, Packer D, Pokushalov E, Reynolds MR, Sanders P, Scanavacca M, Schilling R, Tondo C, Tsao HM, Verma A, Wilber DJ, Yamane T.
PMID: 29021841
J Arrhythm. 2017 Oct;33(5):369-409. doi: 10.1016/j.joa.2017.08.001. Epub 2017 Sep 15.

No abstract available.

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Calkins H, Hindricks G, Cappato R, et al. 2017 HRS/EHRA/ECAS/APHRS/SOLAECE expert consensus statement on catheter and surgical ablation of atrial fibrillation: Executive summary. J Arrhythm. 2017;33(5):369-409doi: 10.1016/j.joa.2017.08.001.
Calkins, H., Hindricks, G., Cappato, R., Kim, Y. H., Saad, E. B., Aguinaga, L., Akar, J. G., Badhwar, V., Brugada, J., Camm, J., Chen, P. S., Chen, S. A., Chung, M. K., Nielsen, J. C., Curtis, A. B., Davies, D. W., Day, J. D., d'Avila, A., de Groot, N. M. S. N., Di Biase, L., Duytschaever, M., Edgerton, J. R., Ellenbogen, K. A., Ellinor, P. T., Ernst, S., Fenelon, G., Gerstenfeld, E. P., Haines, D. E., Haissaguerre, M., Helm, R. H., Hylek, E., Jackman, W. M., Jalife, J., Kalman, J. M., Kautzner, J., Kottkamp, H., Kuck, K. H., Kumagai, K., Lee, R., Lewalter, T., Lindsay, B. D., Macle, L., Mansour, M., Marchlinski, F. E., Michaud, G. F., Nakagawa, H., Natale, A., Nattel, S., Okumura, K., Packer, D., Pokushalov, E., Reynolds, M. R., Sanders, P., Scanavacca, M., Schilling, R., Tondo, C., Tsao, H. M., Verma, A., Wilber, D. J., & Yamane, T. (2017). 2017 HRS/EHRA/ECAS/APHRS/SOLAECE expert consensus statement on catheter and surgical ablation of atrial fibrillation: Executive summary. Journal of arrhythmia, 33(5), 369-409. https://doi.org/10.1016/j.joa.2017.08.001
Calkins, Hugh, et al. "2017 HRS/EHRA/ECAS/APHRS/SOLAECE expert consensus statement on catheter and surgical ablation of atrial fibrillation: Executive summary." Journal of arrhythmia vol. 33,5 (2017): 369-409. doi: https://doi.org/10.1016/j.joa.2017.08.001
Calkins H, Hindricks G, Cappato R, Kim YH, Saad EB, Aguinaga L, Akar JG, Badhwar V, Brugada J, Camm J, Chen PS, Chen SA, Chung MK, Nielsen JC, Curtis AB, Davies DW, Day JD, d'Avila A, de Groot NMSN, Di Biase L, Duytschaever M, Edgerton JR, Ellenbogen KA, Ellinor PT, Ernst S, Fenelon G, Gerstenfeld EP, Haines DE, Haissaguerre M, Helm RH, Hylek E, Jackman WM, Jalife J, Kalman JM, Kautzner J, Kottkamp H, Kuck KH, Kumagai K, Lee R, Lewalter T, Lindsay BD, Macle L, Mansour M, Marchlinski FE, Michaud GF, Nakagawa H, Natale A, Nattel S, Okumura K, Packer D, Pokushalov E, Reynolds MR, Sanders P, Scanavacca M, Schilling R, Tondo C, Tsao HM, Verma A, Wilber DJ, Yamane T. 2017 HRS/EHRA/ECAS/APHRS/SOLAECE expert consensus statement on catheter and surgical ablation of atrial fibrillation: Executive summary. J Arrhythm. 2017 Oct;33(5):369-409. doi: 10.1016/j.joa.2017.08.001. Epub 2017 Sep 15. PMID: 29021841; PMCID: PMC5634725.
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Erratum: Genetic loci associated with heart rate variability and their effects on cardiac disease risk.

Nature communications

Nolte IM, Munoz ML, Tragante V, Amare AT, Jansen R, Vaez A, von der Heyde B, Avery CL, Bis JC, Dierckx B, van Dongen J, Gogarten SM, Goyette P, Hernesniemi J, Huikari V, Hwang SJ, Jaju D, Kerr KF, Kluttig A, Krijthe BP, Kumar J, van der Laan SW, Lyytikäinen LP, Maihofer AX, Minassian A, van der Most PJ, Müller-Nurasyid M, Nivard M, Salvi E, Stewart JD, Thayer JF, Verweij N, Wong A, Zabaneh D, Zafarmand MH, Abdellaoui A, Albarwani S, Albert C, Alonso A, Ashar F, Auvinen J, Axelsson T, Baker DG, de Bakker PIW, Barcella M, Bayoumi R, Bieringa RJ, Boomsma D, Boucher G, Britton AR, Christophersen I, Dietrich A, Ehret GB, Ellinor PT, Eskola M, Felix JF, Floras JS, Franco OH, Friberg P, Gademan MGJ, Geyer MA, Giedraitis V, Hartman CA, Hemerich D, Hofman A, Hottenga JJ, Huikuri H, Hutri-Kähönen N, Jouven X, Junttila J, Juonala M, Kiviniemi AM, Kors JA, Kumari M, Kuznetsova T, Laurie CC, Lefrandt JD, Li Y, Li Y, Liao D, Limacher MC, Lin HJ, Lindgren CM, Lubitz SA, Mahajan A, McKnight B, Zu Schwabedissen HM, Milaneschi Y, Mononen N, Morris AP, Nalls MA, Navis G, Neijts M, Nikus K, North KE, O'Connor DT, Ormel J, Perz S, Peters A, Psaty BM, Raitakari OT, Risbrough VB, Sinner MF, Siscovick D, Smit JH, Smith NL, Soliman EZ, Sotoodehnia N, Staessen JA, Stein PK, Stilp AM, Stolarz-Skrzypek K, Strauch K, Sundström J, Swenne CA, Syvänen AC, Tardif JC, Taylor KD, Teumer A, Thornton TA, Tinker LE, Uitterlinden AG, van Setten J, Voss A, Waldenberger M, Wilhelmsen KC, Willemsen G, Wong Q, Zhang ZM, Zonderman AB, Cusi D, Evans MK, Greiser HK, van der Harst P, Hassan M, Ingelsson E, Järvelin MR, Kääb S, Kähönen M, Kivimaki M, Kooperberg C, Kuh D, Lehtimäki T, Lind L, Nievergelt CM, O'Donnell CJ, Oldehinkel AJ, Penninx B, Reiner AP, Riese H, van Roon AM, Rioux JD, Rotter JI, Sofer T, Stricker BH, Tiemeier H, Vrijkotte TGM, Asselbergs FW, Brundel BJJM, Heckbert SR, Whitsel EA, den Hoed M, Snieder H, de Geus EJC.
PMID: 28767105
Nat Commun. 2017 Aug 02;8:16140. doi: 10.1038/ncomms16140.

This corrects the article DOI: 10.1038/ncomms15805.

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Nolte IM, Munoz ML, Tragante V, et al. Erratum: Genetic loci associated with heart rate variability and their effects on cardiac disease risk. Nat Commun. 2017;8:16140doi: 10.1038/ncomms16140.
Nolte, I. M., Munoz, M. L., Tragante, V., Amare, A. T., Jansen, R., Vaez, A., von der Heyde, B., Avery, C. L., Bis, J. C., Dierckx, B., van Dongen, J., Gogarten, S. M., Goyette, P., Hernesniemi, J., Huikari, V., Hwang, S. J., Jaju, D., Kerr, K. F., Kluttig, A., Krijthe, B. P., Kumar, J., van der Laan, S. W., Lyytikäinen, L. P., Maihofer, A. X., Minassian, A., van der Most, P. J., Müller-Nurasyid, M., Nivard, M., Salvi, E., Stewart, J. D., Thayer, J. F., Verweij, N., Wong, A., Zabaneh, D., Zafarmand, M. H., Abdellaoui, A., Albarwani, S., Albert, C., Alonso, A., Ashar, F., Auvinen, J., Axelsson, T., Baker, D. G., de Bakker, P. I. W., Barcella, M., Bayoumi, R., Bieringa, R. J., Boomsma, D., Boucher, G., Britton, A. R., Christophersen, I., Dietrich, A., Ehret, G. B., Ellinor, P. T., Eskola, M., Felix, J. F., Floras, J. S., Franco, O. H., Friberg, P., Gademan, M. G. J., Geyer, M. A., Giedraitis, V., Hartman, C. A., Hemerich, D., Hofman, A., Hottenga, J. J., Huikuri, H., Hutri-Kähönen, N., Jouven, X., Junttila, J., Juonala, M., Kiviniemi, A. M., Kors, J. A., Kumari, M., Kuznetsova, T., Laurie, C. C., Lefrandt, J. D., Li, Y., Li, Y., Liao, D., Limacher, M. C., Lin, H. J., Lindgren, C. M., Lubitz, S. A., Mahajan, A., McKnight, B., Zu Schwabedissen, H. M., Milaneschi, Y., Mononen, N., Morris, A. P., Nalls, M. A., Navis, G., Neijts, M., Nikus, K., North, K. E., O'Connor, D. T., Ormel, J., Perz, S., Peters, A., Psaty, B. M., Raitakari, O. T., Risbrough, V. B., Sinner, M. F., Siscovick, D., Smit, J. H., Smith, N. L., Soliman, E. Z., Sotoodehnia, N., Staessen, J. A., Stein, P. K., Stilp, A. M., Stolarz-Skrzypek, K., Strauch, K., Sundström, J., Swenne, C. A., Syvänen, A. C., Tardif, J. C., Taylor, K. D., Teumer, A., Thornton, T. A., Tinker, L. E., Uitterlinden, A. G., van Setten, J., Voss, A., Waldenberger, M., Wilhelmsen, K. C., Willemsen, G., Wong, Q., Zhang, Z. M., Zonderman, A. B., Cusi, D., Evans, M. K., Greiser, H. K., van der Harst, P., Hassan, M., Ingelsson, E., Järvelin, M. R., Kääb, S., Kähönen, M., Kivimaki, M., Kooperberg, C., Kuh, D., Lehtimäki, T., Lind, L., Nievergelt, C. M., O'Donnell, C. J., Oldehinkel, A. J., Penninx, B., Reiner, A. P., Riese, H., van Roon, A. M., Rioux, J. D., Rotter, J. I., Sofer, T., Stricker, B. H., Tiemeier, H., Vrijkotte, T. G. M., Asselbergs, F. W., Brundel, B. J. J. M., Heckbert, S. R., Whitsel, E. A., den Hoed, M., Snieder, H., & de Geus, E. J. C. (2017). Erratum: Genetic loci associated with heart rate variability and their effects on cardiac disease risk. Nature communications, 816140. https://doi.org/10.1038/ncomms16140
Nolte, Ilja M, et al. "Erratum: Genetic loci associated with heart rate variability and their effects on cardiac disease risk." Nature communications vol. 8 (2017): 16140. doi: https://doi.org/10.1038/ncomms16140
Nolte IM, Munoz ML, Tragante V, Amare AT, Jansen R, Vaez A, von der Heyde B, Avery CL, Bis JC, Dierckx B, van Dongen J, Gogarten SM, Goyette P, Hernesniemi J, Huikari V, Hwang SJ, Jaju D, Kerr KF, Kluttig A, Krijthe BP, Kumar J, van der Laan SW, Lyytikäinen LP, Maihofer AX, Minassian A, van der Most PJ, Müller-Nurasyid M, Nivard M, Salvi E, Stewart JD, Thayer JF, Verweij N, Wong A, Zabaneh D, Zafarmand MH, Abdellaoui A, Albarwani S, Albert C, Alonso A, Ashar F, Auvinen J, Axelsson T, Baker DG, de Bakker PIW, Barcella M, Bayoumi R, Bieringa RJ, Boomsma D, Boucher G, Britton AR, Christophersen I, Dietrich A, Ehret GB, Ellinor PT, Eskola M, Felix JF, Floras JS, Franco OH, Friberg P, Gademan MGJ, Geyer MA, Giedraitis V, Hartman CA, Hemerich D, Hofman A, Hottenga JJ, Huikuri H, Hutri-Kähönen N, Jouven X, Junttila J, Juonala M, Kiviniemi AM, Kors JA, Kumari M, Kuznetsova T, Laurie CC, Lefrandt JD, Li Y, Li Y, Liao D, Limacher MC, Lin HJ, Lindgren CM, Lubitz SA, Mahajan A, McKnight B, Zu Schwabedissen HM, Milaneschi Y, Mononen N, Morris AP, Nalls MA, Navis G, Neijts M, Nikus K, North KE, O'Connor DT, Ormel J, Perz S, Peters A, Psaty BM, Raitakari OT, Risbrough VB, Sinner MF, Siscovick D, Smit JH, Smith NL, Soliman EZ, Sotoodehnia N, Staessen JA, Stein PK, Stilp AM, Stolarz-Skrzypek K, Strauch K, Sundström J, Swenne CA, Syvänen AC, Tardif JC, Taylor KD, Teumer A, Thornton TA, Tinker LE, Uitterlinden AG, van Setten J, Voss A, Waldenberger M, Wilhelmsen KC, Willemsen G, Wong Q, Zhang ZM, Zonderman AB, Cusi D, Evans MK, Greiser HK, van der Harst P, Hassan M, Ingelsson E, Järvelin MR, Kääb S, Kähönen M, Kivimaki M, Kooperberg C, Kuh D, Lehtimäki T, Lind L, Nievergelt CM, O'Donnell CJ, Oldehinkel AJ, Penninx B, Reiner AP, Riese H, van Roon AM, Rioux JD, Rotter JI, Sofer T, Stricker BH, Tiemeier H, Vrijkotte TGM, Asselbergs FW, Brundel BJJM, Heckbert SR, Whitsel EA, den Hoed M, Snieder H, de Geus EJC. Erratum: Genetic loci associated with heart rate variability and their effects on cardiac disease risk. Nat Commun. 2017 Aug 02;8:16140. doi: 10.1038/ncomms16140. PMID: 28767105; PMCID: PMC5543301.
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Identifying the transporters of different flavonoids in plants.

Plant signaling & behavior

Thompson EP, Davies JM, Glover BJ.
PMID: 20505354
Plant Signal Behav. 2010 Jul;5(7):860-3. doi: 10.4161/psb.5.7.11894. Epub 2010 Jul 01.

We recently identified a new component of flavonoid transport pathways in Arabidopsis. The MATE protein FFT (Flower Flavonoid Transporter) is primarily found in guard cells and seedling roots, and mutation of the transporter results in floral and growth phenotypes....

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Thompson EP, Davies JM, Glover BJ. Identifying the transporters of different flavonoids in plants. Plant Signal Behav. 2010;5(7):860-3doi: 10.4161/psb.5.7.11894.
Thompson, E. P., Davies, J. M., & Glover, B. J. (2010). Identifying the transporters of different flavonoids in plants. Plant signaling & behavior, 5(7), 860-3. https://doi.org/10.4161/psb.5.7.11894
Thompson, Elinor P, et al. "Identifying the transporters of different flavonoids in plants." Plant signaling & behavior vol. 5,7 (2010): 860-3. doi: https://doi.org/10.4161/psb.5.7.11894
Thompson EP, Davies JM, Glover BJ. Identifying the transporters of different flavonoids in plants. Plant Signal Behav. 2010 Jul;5(7):860-3. doi: 10.4161/psb.5.7.11894. Epub 2010 Jul 01. PMID: 20505354; PMCID: PMC3115035.
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Salivary testosterone levels in males from the Ituri Forest of Zaïre.

American journal of human biology : the official journal of the Human Biology Council

Ellison PT, Lipson SF, Meredith MD.
PMID: 28514040
Am J Hum Biol. 1989;1(1):21-24. doi: 10.1002/ajhb.1310010106.

Morning and evening testosterone levels were measured in the saliva of Efe pygmies (N = 11) and Lese villagers (N = 18) living in the Ituri Forest of northeast Zaïre and compared with levels in Boston controls (N =...

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Ellison PT, Lipson SF, Meredith MD. Salivary testosterone levels in males from the Ituri Forest of Zaïre. Am J Hum Biol. 1989;1(1):21-24doi: 10.1002/ajhb.1310010106.
Ellison, P. T., Lipson, S. F., & Meredith, M. D. (1989). Salivary testosterone levels in males from the Ituri Forest of Zaïre. American journal of human biology : the official journal of the Human Biology Council, 1(1), 21-24. https://doi.org/10.1002/ajhb.1310010106
Ellison, P T, et al. "Salivary testosterone levels in males from the Ituri Forest of Zaïre." American journal of human biology : the official journal of the Human Biology Council vol. 1,1 (1989): 21-24. doi: https://doi.org/10.1002/ajhb.1310010106
Ellison PT, Lipson SF, Meredith MD. Salivary testosterone levels in males from the Ituri Forest of Zaïre. Am J Hum Biol. 1989;1(1):21-24. doi: 10.1002/ajhb.1310010106. PMID: 28514040.
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Soluble gC1qR in Blood and Body Fluids: Examination in a Pancreatic Cancer Patient Cohort.

International journal of cancer research and molecular mechanisms

Peerschke EI, Brandwijk RJ, Dembitzer FR, Kinoshita Y, Ghebrehiwet B.
PMID: 26973884
Int J Cancer Res Mol Mech. 2015 Oct;1(3). doi: 10.16966/ijcrmm.110. Epub 2015 Sep 03.

BACKGROUND: gC1qR is a multifunctional cellular protein that has been linked to inflammation and cancer. gC1qR is highly upregulated in adenocarcinomas as compared to normal tissue counterparts, and soluble gC1qR (sgC1qR) has been detected AIM: The present study explored...

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Peerschke EI, Brandwijk RJ, Dembitzer FR, et al. Soluble gC1qR in Blood and Body Fluids: Examination in a Pancreatic Cancer Patient Cohort. Int J Cancer Res Mol Mech. 2015;1(3)doi: 10.16966/ijcrmm.110.
Peerschke, E. I., Brandwijk, R. J., Dembitzer, F. R., Kinoshita, Y., & Ghebrehiwet, B. (2015). Soluble gC1qR in Blood and Body Fluids: Examination in a Pancreatic Cancer Patient Cohort. International journal of cancer research and molecular mechanisms, 1(3), . https://doi.org/10.16966/ijcrmm.110
Peerschke, Ellinor Ib, et al. "Soluble gC1qR in Blood and Body Fluids: Examination in a Pancreatic Cancer Patient Cohort." International journal of cancer research and molecular mechanisms vol. 1,3 (2015). doi: https://doi.org/10.16966/ijcrmm.110
Peerschke EI, Brandwijk RJ, Dembitzer FR, Kinoshita Y, Ghebrehiwet B. Soluble gC1qR in Blood and Body Fluids: Examination in a Pancreatic Cancer Patient Cohort. Int J Cancer Res Mol Mech. 2015 Oct;1(3). doi: 10.16966/ijcrmm.110. Epub 2015 Sep 03. PMID: 26973884; PMCID: PMC4786181.
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Selection of 51 predictors from 13,782 candidate multimodal features using machine learning improves coronary artery disease prediction.

Patterns (New York, N.Y.)

Agrawal S, Klarqvist MDR, Emdin C, Patel AP, Paranjpe MD, Ellinor PT, Philippakis A, Ng K, Batra P, Khera AV.
PMID: 34950898
Patterns (N Y). 2021 Oct 04;2(12):100364. doi: 10.1016/j.patter.2021.100364. eCollection 2021 Dec 10.

Current cardiovascular risk assessment tools use a small number of predictors. Here, we study how machine learning might: (1) enable principled selection from a large multimodal set of candidate variables and (2) improve prediction of incident coronary artery disease...

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Agrawal S, Klarqvist MDR, Emdin C, et al. Selection of 51 predictors from 13,782 candidate multimodal features using machine learning improves coronary artery disease prediction. Patterns (N Y). 2021;2(12):100364doi: 10.1016/j.patter.2021.100364.
Agrawal, S., Klarqvist, M. D. R., Emdin, C., Patel, A. P., Paranjpe, M. D., Ellinor, P. T., Philippakis, A., Ng, K., Batra, P., & Khera, A. V. (2021). Selection of 51 predictors from 13,782 candidate multimodal features using machine learning improves coronary artery disease prediction. Patterns (New York, N.Y.), 2(12), 100364. https://doi.org/10.1016/j.patter.2021.100364
Agrawal, Saaket, et al. "Selection of 51 predictors from 13,782 candidate multimodal features using machine learning improves coronary artery disease prediction." Patterns (New York, N.Y.) vol. 2,12 (2021): 100364. doi: https://doi.org/10.1016/j.patter.2021.100364
Agrawal S, Klarqvist MDR, Emdin C, Patel AP, Paranjpe MD, Ellinor PT, Philippakis A, Ng K, Batra P, Khera AV. Selection of 51 predictors from 13,782 candidate multimodal features using machine learning improves coronary artery disease prediction. Patterns (N Y). 2021 Oct 04;2(12):100364. doi: 10.1016/j.patter.2021.100364. eCollection 2021 Dec 10. PMID: 34950898; PMCID: PMC8672148.
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The genomics of heart failure: design and rationale of the HERMES consortium.

ESC heart failure

Lumbers RT, Shah S, Lin H, Czuba T, Henry A, Swerdlow DI, Mälarstig A, Andersson C, Verweij N, Holmes MV, Ärnlöv J, Svensson P, Hemingway H, Sallah N, Almgren P, Aragam KG, Asselin G, Backman JD, Biggs ML, Bloom HL, Boersma E, Brandimarto J, Brown MR, Brunner-La Rocca HP, Carey DJ, Chaffin MD, Chasman DI, Chazara O, Chen X, Chen X, Chung JH, Chutkow W, Cleland JGF, Cook JP, de Denus S, Dehghan A, Delgado GE, Denaxas S, Doney AS, Dörr M, Dudley SC, Engström G, Esko T, Fatemifar G, Felix SB, Finan C, Ford I, Fougerousse F, Fouodjio R, Ghanbari M, Ghasemi S, Giedraitis V, Giulianini F, Gottdiener JS, Gross S, Guðbjartsson DF, Gui H, Gutmann R, Haggerty CM, van der Harst P, Hedman ÅK, Helgadottir A, Hillege H, Hyde CL, Jacob J, Jukema JW, Kamanu F, Kardys I, Kavousi M, Khaw KT, Kleber ME, Køber L, Koekemoer A, Kraus B, Kuchenbaecker K, Langenberg C, Lind L, Lindgren CM, London B, Lotta LA, Lovering RC, Luan J, Magnusson P, Mahajan A, Mann D, Margulies KB, Marston NA, März W, McMurray JJV, Melander O, Melloni G, Mordi IR, Morley MP, Morris AD, Morris AP, Morrison AC, Nagle MW, Nelson CP, Newton-Cheh C, Niessner A, Niiranen T, Nowak C, O'Donoghue ML, Owens AT, Palmer CNA, Paré G, Perola M, Perreault LL, Portilla-Fernandez E, Psaty BM, Rice KM, Ridker PM, Romaine SPR, Roselli C, Rotter JI, Ruff CT, Sabatine MS, Salo P, Salomaa V, van Setten J, Shalaby AA, Smelser DT, Smith NL, Stefansson K, Stender S, Stott DJ, Sveinbjörnsson G, Tammesoo ML, Tardif JC, Taylor KD, Teder-Laving M, Teumer A, Thorgeirsson G, Thorsteinsdottir U, Torp-Pedersen C, Trompet S, Tuckwell D, Tyl B, Uitterlinden AG, Vaura F, Veluchamy A, Visscher PM, Völker U, Voors AA, Wang X, Wareham NJ, Weeke PE, Weiss R, White HD, Wiggins KL, Xing H, Yang J, Yang Y, Yerges-Armstrong LM, Yu B, Zannad F, Zhao F, Wilk JB, Holm H, Sattar N, Lubitz SA, Lanfear DE, Shah S, Dunn ME, Wells QS, Asselbergs FW, Hingorani AD, Dubé MP, Samani NJ, Lang CC, Cappola TP, Ellinor PT, Vasan RS, Smith JG.
PMID: 34480422
ESC Heart Fail. 2021 Dec;8(6):5531-5541. doi: 10.1002/ehf2.13517. Epub 2021 Sep 03.

AIMS: The HERMES (HEart failure Molecular Epidemiology for Therapeutic targetS) consortium aims to identify the genomic and molecular basis of heart failure.METHODS AND RESULTS: The consortium currently includes 51 studies from 11 countries, including 68 157 heart failure cases...

Cite
Lumbers RT, Shah S, Lin H, et al. The genomics of heart failure: design and rationale of the HERMES consortium. ESC Heart Fail. 2021;8(6):5531-5541doi: 10.1002/ehf2.13517.
Lumbers, R. T., Shah, S., Lin, H., Czuba, T., Henry, A., Swerdlow, D. I., Mälarstig, A., Andersson, C., Verweij, N., Holmes, M. V., Ärnlöv, J., Svensson, P., Hemingway, H., Sallah, N., Almgren, P., Aragam, K. G., Asselin, G., Backman, J. D., Biggs, M. L., Bloom, H. L., Boersma, E., Brandimarto, J., Brown, M. R., Brunner-La Rocca, H. P., Carey, D. J., Chaffin, M. D., Chasman, D. I., Chazara, O., Chen, X., Chen, X., Chung, J. H., Chutkow, W., Cleland, J. G. F., Cook, J. P., de Denus, S., Dehghan, A., Delgado, G. E., Denaxas, S., Doney, A. S., Dörr, M., Dudley, S. C., Engström, G., Esko, T., Fatemifar, G., Felix, S. B., Finan, C., Ford, I., Fougerousse, F., Fouodjio, R., Ghanbari, M., Ghasemi, S., Giedraitis, V., Giulianini, F., Gottdiener, J. S., Gross, S., Guðbjartsson, D. F., Gui, H., Gutmann, R., Haggerty, C. M., van der Harst, P., Hedman, �. �. K., Helgadottir, A., Hillege, H., Hyde, C. L., Jacob, J., Jukema, J. W., Kamanu, F., Kardys, I., Kavousi, M., Khaw, K. T., Kleber, M. E., Køber, L., Koekemoer, A., Kraus, B., Kuchenbaecker, K., Langenberg, C., Lind, L., Lindgren, C. M., London, B., Lotta, L. A., Lovering, R. C., Luan, J., Magnusson, P., Mahajan, A., Mann, D., Margulies, K. B., Marston, N. A., März, W., McMurray, J. J. V., Melander, O., Melloni, G., Mordi, I. R., Morley, M. P., Morris, A. D., Morris, A. P., Morrison, A. C., Nagle, M. W., Nelson, C. P., Newton-Cheh, C., Niessner, A., Niiranen, T., Nowak, C., O'Donoghue, M. L., Owens, A. T., Palmer, C. N. A., Paré, G., Perola, M., Perreault, L. L., Portilla-Fernandez, E., Psaty, B. M., Rice, K. M., Ridker, P. M., Romaine, S. P. R., Roselli, C., Rotter, J. I., Ruff, C. T., Sabatine, M. S., Salo, P., Salomaa, V., van Setten, J., Shalaby, A. A., Smelser, D. T., Smith, N. L., Stefansson, K., Stender, S., Stott, D. J., Sveinbjörnsson, G., Tammesoo, M. L., Tardif, J. C., Taylor, K. D., Teder-Laving, M., Teumer, A., Thorgeirsson, G., Thorsteinsdottir, U., Torp-Pedersen, C., Trompet, S., Tuckwell, D., Tyl, B., Uitterlinden, A. G., Vaura, F., Veluchamy, A., Visscher, P. M., Völker, U., Voors, A. A., Wang, X., Wareham, N. J., Weeke, P. E., Weiss, R., White, H. D., Wiggins, K. L., Xing, H., Yang, J., Yang, Y., Yerges-Armstrong, L. M., Yu, B., Zannad, F., Zhao, F., Wilk, J. B., Holm, H., Sattar, N., Lubitz, S. A., Lanfear, D. E., Shah, S., Dunn, M. E., Wells, Q. S., Asselbergs, F. W., Hingorani, A. D., Dubé, M. P., Samani, N. J., Lang, C. C., Cappola, T. P., Ellinor, P. T., Vasan, R. S., & Smith, J. G. (2021). The genomics of heart failure: design and rationale of the HERMES consortium. ESC heart failure, 8(6), 5531-5541. https://doi.org/10.1002/ehf2.13517
Lumbers, R Thomas, et al. "The genomics of heart failure: design and rationale of the HERMES consortium." ESC heart failure vol. 8,6 (2021): 5531-5541. doi: https://doi.org/10.1002/ehf2.13517
Lumbers RT, Shah S, Lin H, Czuba T, Henry A, Swerdlow DI, Mälarstig A, Andersson C, Verweij N, Holmes MV, Ärnlöv J, Svensson P, Hemingway H, Sallah N, Almgren P, Aragam KG, Asselin G, Backman JD, Biggs ML, Bloom HL, Boersma E, Brandimarto J, Brown MR, Brunner-La Rocca HP, Carey DJ, Chaffin MD, Chasman DI, Chazara O, Chen X, Chen X, Chung JH, Chutkow W, Cleland JGF, Cook JP, de Denus S, Dehghan A, Delgado GE, Denaxas S, Doney AS, Dörr M, Dudley SC, Engström G, Esko T, Fatemifar G, Felix SB, Finan C, Ford I, Fougerousse F, Fouodjio R, Ghanbari M, Ghasemi S, Giedraitis V, Giulianini F, Gottdiener JS, Gross S, Guðbjartsson DF, Gui H, Gutmann R, Haggerty CM, van der Harst P, Hedman ÅK, Helgadottir A, Hillege H, Hyde CL, Jacob J, Jukema JW, Kamanu F, Kardys I, Kavousi M, Khaw KT, Kleber ME, Køber L, Koekemoer A, Kraus B, Kuchenbaecker K, Langenberg C, Lind L, Lindgren CM, London B, Lotta LA, Lovering RC, Luan J, Magnusson P, Mahajan A, Mann D, Margulies KB, Marston NA, März W, McMurray JJV, Melander O, Melloni G, Mordi IR, Morley MP, Morris AD, Morris AP, Morrison AC, Nagle MW, Nelson CP, Newton-Cheh C, Niessner A, Niiranen T, Nowak C, O'Donoghue ML, Owens AT, Palmer CNA, Paré G, Perola M, Perreault LL, Portilla-Fernandez E, Psaty BM, Rice KM, Ridker PM, Romaine SPR, Roselli C, Rotter JI, Ruff CT, Sabatine MS, Salo P, Salomaa V, van Setten J, Shalaby AA, Smelser DT, Smith NL, Stefansson K, Stender S, Stott DJ, Sveinbjörnsson G, Tammesoo ML, Tardif JC, Taylor KD, Teder-Laving M, Teumer A, Thorgeirsson G, Thorsteinsdottir U, Torp-Pedersen C, Trompet S, Tuckwell D, Tyl B, Uitterlinden AG, Vaura F, Veluchamy A, Visscher PM, Völker U, Voors AA, Wang X, Wareham NJ, Weeke PE, Weiss R, White HD, Wiggins KL, Xing H, Yang J, Yang Y, Yerges-Armstrong LM, Yu B, Zannad F, Zhao F, Wilk JB, Holm H, Sattar N, Lubitz SA, Lanfear DE, Shah S, Dunn ME, Wells QS, Asselbergs FW, Hingorani AD, Dubé MP, Samani NJ, Lang CC, Cappola TP, Ellinor PT, Vasan RS, Smith JG. The genomics of heart failure: design and rationale of the HERMES consortium. ESC Heart Fail. 2021 Dec;8(6):5531-5541. doi: 10.1002/ehf2.13517. Epub 2021 Sep 03. PMID: 34480422.
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Re-CHARGE-AF: Recalibration of the CHARGE-AF Model for Atrial Fibrillation Risk Prediction in Patients With Acute Stroke.

Journal of the American Heart Association

Ashburner JM, Wang X, Li X, Khurshid S, Ko D, Trisini Lipsanopoulos A, Lee PR, Carmichael T, Turner AC, Jackson C, Ellinor PT, Benjamin EJ, Atlas SJ, Singer DE, Trinquart L, Lubitz SA, Anderson CD.
PMID: 34666503
J Am Heart Assoc. 2021 Nov 02;10(21):e022363. doi: 10.1161/JAHA.121.022363. Epub 2021 Oct 20.

Background Performance of existing atrial fibrillation (AF) risk prediction models in poststroke populations is unclear. We evaluated predictive utility of an AF risk model in patients with acute stroke and assessed performance of a fully refitted model. Methods and...

Cite
Ashburner JM, Wang X, Li X, et al. Re-CHARGE-AF: Recalibration of the CHARGE-AF Model for Atrial Fibrillation Risk Prediction in Patients With Acute Stroke. J Am Heart Assoc. 2021;10(21):e022363doi: 10.1161/JAHA.121.022363.
Ashburner, J. M., Wang, X., Li, X., Khurshid, S., Ko, D., Trisini Lipsanopoulos, A., Lee, P. R., Carmichael, T., Turner, A. C., Jackson, C., Ellinor, P. T., Benjamin, E. J., Atlas, S. J., Singer, D. E., Trinquart, L., Lubitz, S. A., & Anderson, C. D. (2021). Re-CHARGE-AF: Recalibration of the CHARGE-AF Model for Atrial Fibrillation Risk Prediction in Patients With Acute Stroke. Journal of the American Heart Association, 10(21), e022363. https://doi.org/10.1161/JAHA.121.022363
Ashburner, Jeffrey M, et al. "Re-CHARGE-AF: Recalibration of the CHARGE-AF Model for Atrial Fibrillation Risk Prediction in Patients With Acute Stroke." Journal of the American Heart Association vol. 10,21 (2021): e022363. doi: https://doi.org/10.1161/JAHA.121.022363
Ashburner JM, Wang X, Li X, Khurshid S, Ko D, Trisini Lipsanopoulos A, Lee PR, Carmichael T, Turner AC, Jackson C, Ellinor PT, Benjamin EJ, Atlas SJ, Singer DE, Trinquart L, Lubitz SA, Anderson CD. Re-CHARGE-AF: Recalibration of the CHARGE-AF Model for Atrial Fibrillation Risk Prediction in Patients With Acute Stroke. J Am Heart Assoc. 2021 Nov 02;10(21):e022363. doi: 10.1161/JAHA.121.022363. Epub 2021 Oct 20. PMID: 34666503.
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Comparative Clinical Effectiveness of Population-Based Atrial Fibrillation Screening Using Contemporary Modalities: A Decision-Analytic Model.

Journal of the American Heart Association

Khurshid S, Chen W, Singer DE, Atlas SJ, Ashburner JM, Choi JG, Hur C, Ellinor PT, McManus DD, Chhatwal J, Lubitz SA.
PMID: 34476979
J Am Heart Assoc. 2021 Sep 21;10(18):e020330. doi: 10.1161/JAHA.120.020330. Epub 2021 Sep 03.

Background Atrial fibrillation (AF) screening is endorsed by certain guidelines for individuals aged ≥65 years. Yet many AF screening strategies exist, including the use of wrist-worn wearable devices, and their comparative effectiveness is not well-understood. Methods and Results We...

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Khurshid S, Chen W, Singer DE, et al. Comparative Clinical Effectiveness of Population-Based Atrial Fibrillation Screening Using Contemporary Modalities: A Decision-Analytic Model. J Am Heart Assoc. 2021;10(18):e020330doi: 10.1161/JAHA.120.020330.
Khurshid, S., Chen, W., Singer, D. E., Atlas, S. J., Ashburner, J. M., Choi, J. G., Hur, C., Ellinor, P. T., McManus, D. D., Chhatwal, J., & Lubitz, S. A. (2021). Comparative Clinical Effectiveness of Population-Based Atrial Fibrillation Screening Using Contemporary Modalities: A Decision-Analytic Model. Journal of the American Heart Association, 10(18), e020330. https://doi.org/10.1161/JAHA.120.020330
Khurshid, Shaan, et al. "Comparative Clinical Effectiveness of Population-Based Atrial Fibrillation Screening Using Contemporary Modalities: A Decision-Analytic Model." Journal of the American Heart Association vol. 10,18 (2021): e020330. doi: https://doi.org/10.1161/JAHA.120.020330
Khurshid S, Chen W, Singer DE, Atlas SJ, Ashburner JM, Choi JG, Hur C, Ellinor PT, McManus DD, Chhatwal J, Lubitz SA. Comparative Clinical Effectiveness of Population-Based Atrial Fibrillation Screening Using Contemporary Modalities: A Decision-Analytic Model. J Am Heart Assoc. 2021 Sep 21;10(18):e020330. doi: 10.1161/JAHA.120.020330. Epub 2021 Sep 03. PMID: 34476979.
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